R: how to delete columns in a data.table?

data.table, r

Solution

ok here are a few options. The last one seems exactly what you want...

 x<-1:5
 y<-1:5
 z<-1:5
 xy<-data.table(x,y,z)
 NEWxy<-subset(xy, select = -c(x,y) ) #removes column x and y

and

id<-c("x","y")
newxy<-xy[, id, with=FALSE]
newxy #gives just x and y e.g.

   #  x y
#[1,] 1 1
#[2,] 2 2
#[3,] 3 3
#[4,] 4 4
#[5,] 5 5

and finally what you really want:

anotherxy<-xy[,id:=NULL,with=FALSE] # removes comuns x and y that are in id

#     z
#[1,] 1
#[2,] 2
#[3,] 3
#[4,] 4
#[5,] 5

Problem

Question about the R package data.table: how are multiple data.table columns removed in a memory-efficient way? Suppose the column names to be deleted are stored in the vector deleteCol. ``` In a data.frame, it is: DF <- DF[deleteCol] <- list() ``` For data.table, I tried: ``` DT[, deleteCol, with=FALSE] <- list() ``` but this gave `unused argument(s) (with = FALSE)`

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